Training complete

README.md

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+---
+base_model: vinai/bartpho-syllable
+tags:
+- text2text-generation
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: nlp_vietnamese_spelling
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nlp_vietnamese_spelling
+
+This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3776
+- Sacrebleu: 9.6073
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Sacrebleu |
+|:-------------:|:------:|:----:|:---------------:|:---------:|
+| 1.6702        | 0.4803 | 500  | 0.8637          | 5.3242    |
+| 1.0413        | 0.9606 | 1000 | 0.6961          | 6.4143    |
+| 0.7764        | 1.4409 | 1500 | 0.5493          | 7.8371    |
+| 0.6854        | 1.9212 | 2000 | 0.4883          | 8.3411    |
+| 0.5523        | 2.4015 | 2500 | 0.4498          | 8.7689    |
+| 0.5078        | 2.8818 | 3000 | 0.4146          | 9.2720    |
+| 0.4226        | 3.3622 | 3500 | 0.4010          | 9.3349    |
+| 0.4222        | 3.8425 | 4000 | 0.3924          | 9.4525    |
+| 0.3832        | 4.3228 | 4500 | 0.3839          | 9.5898    |
+| 0.3634        | 4.8031 | 5000 | 0.3776          | 9.6073    |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.40.2"
+}

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